Jingyuan Zhao
- (2024): Unlocking Urban Breathability: Investigating the Synergistic Mitigation of PM2.5 and CO2 by Community Park Green Space in the Built Environment Using Simulation. In: Buildings, v. 14, n. 11 (22 October 2024).
- Automatic curtain wall frame detection based on deep learning and cross-modal feature fusion. In: Automation in Construction, v. 160 (April 2024). (2024):
- Effects of hygrothermal properties and boundary condition uncertainties in heat and mass transfer simulations of cave walls. In: Journal of Building Engineering, v. 86 (June 2024). (2024):
- Quantifying the nonlinear relationship between block morphology and the surrounding thermal environment using random forest method. In: Sustainable Cities and Society, v. 91 (April 2023). (2023):
- Urban ventilation corridors exacerbate air pollution in central urban areas: evidence from a Chinese city. In: Sustainable Cities and Society, v. 87 (December 2022). (2022):
- Energy-saving optimization based on residential building orientation and shape with multifactor coupling in the Tibetan areas of western Sichuan, China. In: Journal of Asian Architecture and Building Engineering, v. 22, n. 3 (July 2022). (2022):
- Improving indoor thermal environment in a traditional building of Danihe Village, China with additional solar house. In: Alexandria Engineering Journal, v. 61, n. 4 (April 2022). (2022):
- Effects of block morphology on the surface thermal environment and the corresponding planning strategy using the geographically weighted regression model. In: Building and Environment, v. 216 (May 2022). (2022):
- (2022): Architectural Simulations on Spatio-Temporal Changes of Settlement Outdoor Thermal Environment in Guanzhong Area, China. In: Buildings, v. 12, n. 3 (8 March 2022).
- Analysis of the spatial characteristics of inhalable particulate matter concentrations under the influence of a three-dimensional landscape pattern in Xi'an, China. In: Sustainable Cities and Society, v. 81 (June 2022). (2022):
- Prediction and evaluation of spatial distributions of ozone and urban heat island using a machine learning modified land use regression method. In: Sustainable Cities and Society, v. 78 (March 2022). (2022):
- Exploring the spatial heterogeneity of urban heat island effect and its relationship to block morphology with the geographically weighted regression model. In: Sustainable Cities and Society, v. 76 (January 2022). (2022):
- Assessing air quality changes in heavily polluted cities during the COVID-19 pandemic: A case study in Xi'an, China. In: Sustainable Cities and Society, v. 70 (July 2021). (2021):
- Technological adaptation zone of passive evaporative cooling of China, based on a clustering analysis. In: Sustainable Cities and Society, v. 66 (March 2021). (2021):
- Spatial distribution characteristics of PM2.5 and PM10 in Xi’an City predicted by land use regression models. In: Sustainable Cities and Society, v. 61 (October 2020). (2020):
- The creation of a representative driving cycle based on Intelligent Transportation System (ITS) and a mathematically statistical algorithm: A case study of Changchun (China). In: Sustainable Cities and Society, v. 42 (October 2018). (2018):
- Numerical simulation of the thermal environment of urban street canyon and a design strategy. In: Building Simulation, v. 1, n. 3 (August 2008). (2008):